Hyperparameters in machine learning are those variables that are set before the training process starts and regulate several aspects of the behavior of the learning algorithm. In contrast to model ...

In-memory computing (IMC) aims at executing numerical operations via physical processes, such as current summation and charge collection, thus accelerating common computing tasks including the ...